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BACKGROUND: Surgical education is challenged by continuously increasing clinical content, greater subspecialization, and public scrutiny of access to high quality surgical care. Since the last Blue Ribbon Committee on surgical education, novel technologies have been developed including artificial intelligence and telecommunication. OBJECTIVES AND METHODS: The goals of this Blue Ribbon Sub-Committee were to describe the latest technological advances and construct a framework for applying these technologies to improve the effectiveness and efficiency of surgical education and assessment. An additional goal was to identify implementation frameworks and strategies for centers with different resources and access. All sub-committee recommendations were included in a Delphi consensus process with the entire Blue Ribbon Committee (N=67). RESULTS: Our sub-committee found several new technologies and opportunities that are well poised to improve the effectiveness and efficiency of surgical education and assessment (see Tables 1-3). Our top recommendation was that a Multidisciplinary Surgical Educational Council be established to serve as an oversight body to develop consensus, facilitate implementation, and establish best practices for technology implementation and assessment. This recommendation achieved 93% consensus during the first round of the Delphi process. CONCLUSION: Advances in technology-based assessment, data analytics, and behavioral analysis now allow us to create personalized educational programs based on individual preferences and learning styles. If implemented properly, education technology has the promise of improving the quality and efficiency of surgical education and decreasing the demands on clinical faculty.
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BACKGROUND: Surgical decision-making for preference-sensitive operations among older adults is understudied. Ventral hernia repair (VHR) is one operation where granular data are limited to guide preoperative decision-making. We aimed to determine risk for VHR in older adults given clinically nuanced data including surgical and hernia characteristics. METHODS: We performed a retrospective analysis of the Michigan Surgical Quality Collaborative Core Optimization Hernia Registry from January 2020 to March 2023. The primary outcome was postoperative complication across age groups: 18-64, 65-74, and ≥ 75 years, with secondary outcome of surgical approach. Mixed-effects logistic regression evaluated association between minimally invasive surgery (MIS) and 30-day complications, controlling for patient and hernia characteristics. RESULTS: Among 8,659 patients, only 7% were 75 or older. MIS rates varied across hospitals [Median = 31.4%, IQR: (14.8-51.6%)]. The overall complication rate was 2.2%. Complication risk for undergoing open versus MIS approach did not vary between age groups; however, patients over age 75 undergoing laparoscopic repair had increased risk (aOR = 4.58, 95% CI 1.13-18.67). Other factors associated with risk included female sex (aOR = 2.10, 95% CI 1.51-2.93), higher BMI (aOR = 1.18, 95% CI 1.03-1.34), hernia width ≥ 6 cm (aOR = 3.15, 95% CI 1.96-5.04), previous repair (aOR = 1.44, 95% CI 1.02-2.05), and component separation (aOR = 1.98, 95% CI 1.28-3.05). Patients most likely to undergo MIS were female (aOR = 1.21, 95% CI 1.09-1.34), black (aOR = 1.30, 95% CI 1.12-1.52), with larger hernias: 2-5.9 cm (aOR = 1.76, 95% CI 1.57-1.97), or intraoperative mesh placement (aOR = 14.4, 95% CI 11.68-17.79). There was no difference in likelihood to receive MIS across ages when accounting for hospital (SD of baseline likelihood = 1.53, 95% CI 1.14-2.05) and surgeon (SD of baseline likelihood = 2.77, 95% CI 2.46-3.11) variation. CONCLUSIONS: Our findings demonstrate that hernia, intraoperative, and patient characteristics other than age increase probability for complication following VHR. These findings can empower surgeons and older patients considering preoperative risk for VHR.
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This Viewpoint discusses developing a more nuanced preoperative optimization strategy for hernia repair that considers patient and disease factors to determine the right operation for the right patient at the right time.